We apply a temporal denoising algorithm to hyperpolarized MRI. The SIFT method filters out temporal frequencies with low amplitudes, reducing noise while preserving dynamic information. We demonstrate this in a bioreactor setting, introducing hyperpolarized [1-13C] pyruvate to cells and human subjects and observing the conversion of pyruvate to lactate.
This abstract and the presentation materials are available to members only; a login is required.